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Xva Trading Jobs (NOW HIRING)

Societe Generale

Senior Salesperson

New York, NY · On-site

As a Director in Interest Rate Sales at Societe Generale, you will be a key player on the trading ... to XVA and other relevant regulatory and operational requirements. Collaborate closely with ...

Citigroup Inc

Client Manager Hybrid

Manhattan, NY · On-site

Manage an efficient new approval and escalation process for non-standard documentation requests from clients (work with the trading desk / XVA on certain trade approvals) * Address ad-hoc requests ...

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Xva Trading information

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$14

$36

$50

How much do xva trading jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for xva trading in the United States is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $46.15 per hour, depending on experience, location, and employer.

What is an XVA Trading?

An XVA Trading job involves managing and pricing valuation adjustments (XVAs) in derivative trading. XVAs account for factors like credit risk (CVA), funding costs (FVA), and capital requirements (KVA) to ensure accurate trade valuation. XVA traders work closely with risk management and quant teams to optimize pricing, hedge risks, and improve profitability. They use complex mathematical models, market simulations, and financial instruments to adjust derivative prices reflecting real-world costs. This role requires strong quantitative skills, financial market knowledge, and expertise in risk management.

What are the typical daily responsibilities of an XVA Trading professional?

An XVA Trading professional typically monitors and manages valuation adjustments (such as CVA, DVA, and FVA) on derivative portfolios, ensuring accurate pricing and effective risk mitigation. They collaborate closely with front-office traders, risk managers, and quantitative analysts, and often develop or enhance models to reflect market conditions. Daily tasks may include running exposure simulations, analyzing counterparty risks, and communicating complex findings to both technical and non-technical stakeholders. This role offers a dynamic and challenging environment, making adaptability and continuous learning essential for long-term success.

What are the key skills and qualifications needed to thrive in the XVA Trading position?

To excel in XVA Trading, you need strong quantitative finance knowledge, expertise in derivatives pricing, and a background in mathematics, finance, or engineering. Familiarity with programming languages such as Python or C++, risk management systems, and XVA-specific platforms like Murex or Calypso is highly valuable. Excellent problem-solving skills, attention to detail, and effective communication are key soft skills for collaborating with risk, technology, and trading teams. These skills are crucial to accurately assess valuation adjustments, manage complex portfolios, and ensure regulatory compliance in a fast-paced trading environment.

How much do Xva traders make?

XVA traders typically earn a base salary ranging from $100,000 to $200,000 annually, with total compensation often including bonuses that can significantly increase earnings. Experienced traders with strong quantitative skills and risk management expertise can earn higher bonuses, making total compensation potentially exceed $300,000 per year.

What does an Xva Trading do?

An XVA trader manages the valuation adjustments applied to derivative pricing, such as Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA). They analyze counterparty risk, funding costs, and market conditions to optimize trading strategies and mitigate financial risks using quantitative models and trading platforms.
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Xva Trading jobs near you
Infographic showing various Xva Trading job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 72% In-person, 17% Hybrid, and 11% Remote job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

Market Risk Dev with Python,C++

Saicon Consultants Inc.

Rosemont, IL • On-site

$66.75 - $88/hr

Other

Posted 7 days ago

Job description

Key Responsibilities
  • Architect, build, and manage a massive-scale distributed compute grid on public cloud platforms (AWS, Google Cloud Platform) for running financial pricing models.
  • Design and implement the orchestration layer responsible for distributing millions of pricing tasks efficiently across hundreds of thousands of CPU/GPU cores.
  • Deploy, manage, and version control a diverse library of quantitative pricing models, ensuring they run optimally in a distributed environment.
  • Obsessively monitor and optimize the performance, cost, and resource utilization of the cloud grid, driving continuous efficiency improvements.
  • Collaborate with quantitative development teams to seamlessly integrate new and updated pricing models into the production grid.
  • Engineer the data logistics to ensure that the correct market data, trade data, and model configurations are available for every calculation at runtime.
  • Ensure the pricing engine is highly available, resilient, and capable of meeting stringent recovery time objectives.
What We''re Looking For
  • 10 years of professional experience with a proven track record of designing, building, and running applications on massive-scale compute grids.
  • Expert-level hands-on experience with at least one major public cloud provider (AWS or Google Cloud Platform), including their batch processing, container, and serverless offerings.
  • Deep expertise in containerization and orchestration technologies (Docker, Kubernetes).
  • Strong programming skills in languages common to high-performance computing such as C++ and Python.
  • Prior experience in a similar role within the financial industry (e.g., running large-scale Monte Carlo simulations, VaR calculations, or XVA pricing grids) is highly desirable.
  • A degree in Computer Science, Engineering, or a related technical field.
  • A strong background in distributed systems, performance tuning, and infrastructure-as-code principles.
  • Exceptional problem-solving skills with an ability to diagnose and resolve complex issues in a high-pressure, large-scale environment.
  • Excellent communication skills and the ability to work effectively with quantitative research, trading, and risk management teams.

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